""" Standard container-class for easy multiple-inheritance. Try to inherit from the ndarray instead of using this class as this is not complete. """ from __future__ import division, absolute_import, print_function from numpy.core import ( array, asarray, absolute, add, subtract, multiply, divide, remainder, power, left_shift, right_shift, bitwise_and, bitwise_or, bitwise_xor, invert, less, less_equal, not_equal, equal, greater, greater_equal, shape, reshape, arange, sin, sqrt, transpose ) from numpy.compat import long class container(object): """ container(data, dtype=None, copy=True) Standard container-class for easy multiple-inheritance. Methods ------- copy tostring byteswap astype """ def __init__(self, data, dtype=None, copy=True): self.array = array(data, dtype, copy=copy) def __repr__(self): if self.ndim > 0: return self.__class__.__name__ + repr(self.array)[len("array"):] else: return self.__class__.__name__ + "(" + repr(self.array) + ")" def __array__(self, t=None): if t: return self.array.astype(t) return self.array # Array as sequence def __len__(self): return len(self.array) def __getitem__(self, index): return self._rc(self.array[index]) def __setitem__(self, index, value): self.array[index] = asarray(value, self.dtype) def __abs__(self): return self._rc(absolute(self.array)) def __neg__(self): return self._rc(-self.array) def __add__(self, other): return self._rc(self.array + asarray(other)) __radd__ = __add__ def __iadd__(self, other): add(self.array, other, self.array) return self def __sub__(self, other): return self._rc(self.array - asarray(other)) def __rsub__(self, other): return self._rc(asarray(other) - self.array) def __isub__(self, other): subtract(self.array, other, self.array) return self def __mul__(self, other): return self._rc(multiply(self.array, asarray(other))) __rmul__ = __mul__ def __imul__(self, other): multiply(self.array, other, self.array) return self def __div__(self, other): return self._rc(divide(self.array, asarray(other))) def __rdiv__(self, other): return self._rc(divide(asarray(other), self.array)) def __idiv__(self, other): divide(self.array, other, self.array) return self def __mod__(self, other): return self._rc(remainder(self.array, other)) def __rmod__(self, other): return self._rc(remainder(other, self.array)) def __imod__(self, other): remainder(self.array, other, self.array) return self def __divmod__(self, other): return (self._rc(divide(self.array, other)), self._rc(remainder(self.array, other))) def __rdivmod__(self, other): return (self._rc(divide(other, self.array)), self._rc(remainder(other, self.array))) def __pow__(self, other): return self._rc(power(self.array, asarray(other))) def __rpow__(self, other): return self._rc(power(asarray(other), self.array)) def __ipow__(self, other): power(self.array, other, self.array) return self def __lshift__(self, other): return self._rc(left_shift(self.array, other)) def __rshift__(self, other): return self._rc(right_shift(self.array, other)) def __rlshift__(self, other): return self._rc(left_shift(other, self.array)) def __rrshift__(self, other): return self._rc(right_shift(other, self.array)) def __ilshift__(self, other): left_shift(self.array, other, self.array) return self def __irshift__(self, other): right_shift(self.array, other, self.array) return self def __and__(self, other): return self._rc(bitwise_and(self.array, other)) def __rand__(self, other): return self._rc(bitwise_and(other, self.array)) def __iand__(self, other): bitwise_and(self.array, other, self.array) return self def __xor__(self, other): return self._rc(bitwise_xor(self.array, other)) def __rxor__(self, other): return self._rc(bitwise_xor(other, self.array)) def __ixor__(self, other): bitwise_xor(self.array, other, self.array) return self def __or__(self, other): return self._rc(bitwise_or(self.array, other)) def __ror__(self, other): return self._rc(bitwise_or(other, self.array)) def __ior__(self, other): bitwise_or(self.array, other, self.array) return self def __pos__(self): return self._rc(self.array) def __invert__(self): return self._rc(invert(self.array)) def _scalarfunc(self, func): if self.ndim == 0: return func(self[0]) else: raise TypeError( "only rank-0 arrays can be converted to Python scalars.") def __complex__(self): return self._scalarfunc(complex) def __float__(self): return self._scalarfunc(float) def __int__(self): return self._scalarfunc(int) def __long__(self): return self._scalarfunc(long) def __hex__(self): return self._scalarfunc(hex) def __oct__(self): return self._scalarfunc(oct) def __lt__(self, other): return self._rc(less(self.array, other)) def __le__(self, other): return self._rc(less_equal(self.array, other)) def __eq__(self, other): return self._rc(equal(self.array, other)) def __ne__(self, other): return self._rc(not_equal(self.array, other)) def __gt__(self, other): return self._rc(greater(self.array, other)) def __ge__(self, other): return self._rc(greater_equal(self.array, other)) def copy(self): "" return self._rc(self.array.copy()) def tostring(self): "" return self.array.tostring() def byteswap(self): "" return self._rc(self.array.byteswap()) def astype(self, typecode): "" return self._rc(self.array.astype(typecode)) def _rc(self, a): if len(shape(a)) == 0: return a else: return self.__class__(a) def __array_wrap__(self, *args): return self.__class__(args[0]) def __setattr__(self, attr, value): if attr == 'array': object.__setattr__(self, attr, value) return try: self.array.__setattr__(attr, value) except AttributeError: object.__setattr__(self, attr, value) # Only called after other approaches fail. def __getattr__(self, attr): if (attr == 'array'): return object.__getattribute__(self, attr) return self.array.__getattribute__(attr) ############################################################# # Test of class container ############################################################# if __name__ == '__main__': temp = reshape(arange(10000), (100, 100)) ua = container(temp) # new object created begin test print(dir(ua)) print(shape(ua), ua.shape) # I have changed Numeric.py ua_small = ua[:3, :5] print(ua_small) # this did not change ua[0,0], which is not normal behavior ua_small[0, 0] = 10 print(ua_small[0, 0], ua[0, 0]) print(sin(ua_small) / 3. * 6. + sqrt(ua_small ** 2)) print(less(ua_small, 103), type(less(ua_small, 103))) print(type(ua_small * reshape(arange(15), shape(ua_small)))) print(reshape(ua_small, (5, 3))) print(transpose(ua_small))